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Hot chicks, cold feet

1 2

Randi Oppermann Moea*, Jon Bohlinb, Andreas Fløc, Guro Vasdald, Solveig Marie Stubsjøene 3

4

aNorwegian University of Life Sciences, Faculty of Veterinary Medicine, Department of 5

Production Animal Clinical Sciences, Animal Welfare Research Group, P.O. Box 8146 dep., 6

N-0033 Oslo, Norway 7

8

b Norwegian Institute of Public Health, Division of Infection Control and Environmental health, 9

Department of infectious disease epidemiology and modeling, Lovisenberggata 8, P.O. Box 10

4404, 0403 Oslo, Norway 11

12

c Norwegian University of Life Sciences, Faculty of Environmental Science and Technology, 13

Department of Mathematical Sciences and Technology, N-1432 Aas, Norway 14

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dAnimalia, Norwegian Meat and Poultry Research Centre, PO Box 396, Okern, NO-0513 16

Oslo, Norway 17

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eNorwegian Veterinary Institute, Department of Animal Health and Food Safety, Section for 19

Animal Health, Wildlife and Welfare, P.O. Box 750 Sentrum, N-0106 Oslo, Norway 20

21 22 23

* Corresponding author Randi Oppermann Moe: Tel: +47 67 23 21 17 24

E-mail address: randi.moe@nmbu.no 25

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2 26

1. Introduction 27

In recent years, there has been a growing effort to develop scientifically based indicators of 28

emotional states in animals in order to assess their welfare. The subjective components of 29

emotional states cannot be assessed verbally in animals. However, various physiological 30

measurements are used to indirectly detect animal emotions [1,2]. For instance, it has been well 31

documented that acute physical and psychological stress and emotional arousal triggers a 32

sympathetically-mediated cutaneous vasoconstriction causing a rapid drop in skin temperature.

33

This drop is accompanied by a rise in core temperature, followed by a subsequent vasodilatation 34

in order to dissipate excess heat resulting in a post-stressor rise in peripheral temperature. This 35

thermoregulatory response is termed stress-induced hyperthermia, psychogenic fever, or 36

emotional fever, and can be found in mammalian, avian, reptile, and fish species [3-12].

37 38

Infrared thermography (IRT), also known as thermal imaging, is a non-invasive, quantitative 39

diagnostic tool that involves the detection of infrared radiation (heat) emitted from an object 40

[13]. Thermal imaging is used in a broad range of animal studies [14], including studies of 41

stress, emotional arousal, and animal welfare in laying hens [15-19]. For instance, handling 42

stress resulted in an initial surface comb and eye temperature drop within a minute of handling 43

by about 2⁰C and 0.8⁰C, respectively, whilst core temperature rose over a 9-12 min period in 44

laying hens [8,18,19]. Herborn et al. [19] found that the initial stress-induced skin temperature 45

drop (i.e. in comb and wattle) was more pronounced and that the post-stressor rise in 46

temperature was largest in response to the most aversive handling procedure, suggesting that 47

stressor intensity can be quantified by measures of skin temperature alterations in laying hens.

48

Previously, we found evidence that a drop in peripheral temperature may reflect the intensity 49

of emotional arousal rather than its valence, as indicated by a drop in surface comb temperature 50

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in laying hens during the first minutes of anticipating a palatable food reward [16]. Furthermore, 51

Edgar et al. [15] demonstrated that hens respond to an aversive stimulus directed at their chicks 52

by a drop in eye temperature. These studies suggest that a range of head region temperatures 53

may provide valuable information about stress and emotions in poultry.

54 55

IRT is useful also for the detection of welfare relevant issues not related to stress and emotions 56

in laying hens. For instance, one study showed a positive relationship between IRT records of 57

surface skin temperature and the visual assessment of plumage condition, which indirectly 58

reflects feather pecking behavior in chicken flocks [20]. Furthermore, IRT was useful for the 59

early detection of subclinical leg pathologies (so-called bumble foot) in laying hens [21].

60 61

Taken together, IRT has a great potential to provide valuable information in a variety of animal 62

welfare relevant studies in poultry, ranging from studies of stress and emotions to health related 63

issues [17]. However, although several studies explored temperature in studies of welfare issues 64

in laying hens, less is known about the use of IRT to study welfare in broiler chickens kept for 65

meat production. Leg health problems (e.g. footpad lesions; FPL) are emphasized as important 66

welfare issues in broiler chickens [22], and welfare audits for broilers therefore include the 67

visual inspection of the footpads and scoring of macroscopic appearance of lesion- size and - 68

severity [23]. FPL are associated with inflammatory processes [24,25], which in general are 69

associated with a rise in tissue temperature. Hence, IRT could potentially represent a novel tool 70

for the reliable early detection and/or prediction of subclinical foot pathologies in broiler 71

chickens, as has been suggested for the detection of subclinical bumble foot in laying hens [21].

72 73

However, the use of IRT to study footpad temperatures involves handling and restraint of the 74

birds, which may cause stress and emotional arousal, thus having the potential to affect surface 75

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temperatures as discussed above. Indeed, foot temperature (in laying hens) may be affected by 76

handling stress: After an initial 6 min drop, the surface temperatures (i.e. interdigital membrane 77

temperature read from a digital infrared thermometer) rose [8]. Although one study showed that 78

immobilization of young small broiler chicks resulted in inconsistent and negligible alterations 79

in abdominal skin temperature [26], there is in general limited knowledge about effects of 80

handling and restraint on surface temperatures assessed from IRT in broiler chickens.

81 82

Therefore, as a basis for the validation of IRT as a future tool for the early detection and/or 83

prediction of subclinical leg pathologies of broiler footpads, this study investigated effects of 84

factors having the potential to affect surface temperature measurements in clinically healthy 85

broiler chickens associated with the assessment of footpad temperatures. The specific aims were 86

to 1) explore effects of manual restraint on footpad temperatures in broiler chickens; 2) 87

investigate footpad temperatures at two different ages, and 3) explore concomitant effects of 88

manual restraint on several surface head region temperatures, in order to gain more knowledge 89

about effects of stress and emotional arousal on surface skin temperatures in broiler chickens.

90 91 92

2. Material and methods 93

94

2.1. Animals and husbandry 95

96

The experiment was carried out at the Institute of Production Animal Clinical Sciences at the 97

Norwegian University of Life Sciences. Twenty broiler chickens (Ross 308) were housed in a 98

pen littered with wood shavings. The chickens were obtained from a commercial producer at 99

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15 d of age. The birds had ad-lib access to water from a bell drinker and a commercial diet for 100

broilers (KROMAT Kylling 2, Felleskjøpet, Norway) throughout the experiment.

101

2.2. Experimental procedures 102

103

The birds were accustomed to the housing facilities for 15 d before the start of the experiment.

104

Twelve birds were randomly selected for IRT measurements and tested on three test days during 105

a period of seven days, i.e. at 30, 36 (test day 1 and 2; footpad measures) and 37 d of age (test 106

day 3; head region measures). For the footpad measures, each chicken was manually restrained 107

for a total duration of 10 min by a person sitting on a chair. The birds were picked up and gently 108

placed in a position where the ventral side of the feet were pointing upwards towards the thermal 109

camera and with the back leaning against the lap of the handler. The distance between camera 110

and broiler feet was 1m. A cardboard plate covered with aluminium foil to avoid influences of 111

heat emission from the body of the bird and the hands/body of the handler were adjusted and 112

placed on the right leg dorsal to the foot. IRT images of the feet were collected every minute 113

over the 10 min test period (i.e. recordings at 0-9 min). For head temperature recordings, birds 114

were gently picked up and manually handled and restrained in the same position as for footpad 115

images. IRT images of the head were collected at the start and the end of a 10 min time period 116

(i.e. recordings at 0 and 9 min, then the birds were held in an upright position towards a concrete 117

wall, making sure that the distance from the head to the camera was similar (1 m) for all 118

recordings. The experimenters were located in a corner of the same room as the chicken pen 119

and visible to chickens. Birds were sacrificed after the experiment by blunt trauma and cervical 120

dislocation.

121 122

2.3. Infrared thermography 123

124

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IRT images of the feet and head were collected with a thermal camera (T620bx, FLIR System 125

AB, Danderyd, Sweden). The camera was set to an emissivity of 0.96, and the ambient 126

temperature of the testing room was maintained at 20°C. Relative humidity inside the 127

experimental room was recorded at the beginning and end of every test period. These values 128

were used to allow correction for environmental changes during image analysis. Image analysis 129

software (FLIR ThermaCAM Researcher) was used to determine average surface temperature 130

of the plantar footpad and head (larger anatomical area, see description in Figure 1), and 131

temperatures of the comb base, eye (centre and lateral eye angle), ear, wattles, beak base, and 132

nostril (spot measurements, see description in Figure 2).

133 134

2.4. Statistical analysis 135

136

Linear mixed effects regression was carried out with footpad temperature as the response 137

variable and time in minutes (duration of manual restraint) as a predictor variable. Additionally, 138

sequential testing order and test day of the experiment (i.e. when the chicks were aged 30 and 139

36 d, respectively), were included as predictors to respectively assess putative effects of waiting 140

time before handling, and of age, on footpad temperature. Individual footpad temperature 141

differences, between the chickens nested within age (i.e. test day 1 and 2) with respect to time, 142

were modelled as random slopes:

143

yijkl=Xβ+Zu+εijkl

144

yijkl is the foot-temperature response variable with index i=each sample, j=time in min (0-9), 145

k=individual (i.e. chick) and l=age (i.e. test day 1 or 2). Xβ designates the matrix of fixed effects 146

multiplied with the corresponding parameters to be estimated (β), while the random effects are 147

represented by the matrix Z multiplied with the corresponding parameters (i.e. variances) to be 148

estimated u.

149

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7 150

For control, we fitted another regression model with temperatures, recorded at different head 151

regions (the response variable). Temperatures were collected at two different time points (0 and 152

10 min after restraint) and this information was included as a predictor variable to be tested.

153

Sequential testing order was included as a predictor but removed since it was not found to be 154

significant (p=0.66). The individual variance of each chicken was modelled as a random slope 155

nested for each head region with respect to time point:

156

yijkl=Xβ+Zu+εijkl

157

yijkl is the head-temperature response variable with index i=each sample, j=time in min (0 or 9), 158

k=individual (i.e. chick) and l=head region (i.e. beak, wattle, comb, etc.). Again Xβ designates 159

the matrix of fixed effects multiplied with a parameter vector to be estimated β, and the random 160

effects are expressed by the matrix Z also multiplied with parameters to be estimated u. The 161

final model-estimations were carried out using restricted maximum likelihood (REML). Due to 162

the low sample-size we also performed MM-type robust regression [27] with temperature as a 163

response and time point as the explanatory variable for each head region. The quality of the 164

regression models was assessed by examining the residual distribution and by plotting the fitted 165

regression model on the explanatory variables. The Akaike information criterion [28] was used 166

to obtain a quantitative estimate of the model fit. Results from the regression models are 167

reported as mean estimates together with 95% Confidence Intervals (95% CI). The linear mixed 168

effects regression models were fitted using the lme4 package [29]. Degrees of freedom and p- 169

values were computed based on the Satterthwaite method as implemented in the package 170

“lmerTest” [30]. The figures presenting the statistical results were created with the “ggplot2”

171

package [31]. All statistical analyses were performed with the statistical language R [32].

172 173 174

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8 3. Results

175 176

One example of a thermal image of a broiler chicken footpad is presented in Figure 1. We found 177

that there was a statistical significant drop (p<0.001) in footpad temperature means during 178

restraining of -0.45 ⁰C 95 % CI (-0.49, -0.41) per minute. Age was also significant (p<0.001) 179

in the sense that temperature rose on average with 1.71 ⁰C 95 % CI (1.04, 2.38) from when the 180

chickens were 30 d of age to 36 d (Figure 3). Sequential testing order of the chickens was also 181

significant (p=0.04) for footpad temperatures with 0.13 ⁰C 95 % CI (0.01, 0.25).

182 183

Examples of thermal images of chicken heads are presented in Figure 2. A significant rise in 184

pooled head region temperature means for t=9 as compared to t=0 (p<0.004) with 0.76 ⁰C 95 185

% CI (0.39, 1.15) was found (Figure 4). We also examined head temperature differences within 186

each specific region of interest using robust regression (Figure 5) and found that only comb 187

base temperature was not statistically significantly different between t=0 and t=9. In all other 188

instances, the temperature rose between the time points. Sequential testing order was not 189

statistically significant for head temperatures (p=0.66).

190 191

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9 4. Discussion

192 193

The present study investigated effects of manual restraint and age on footpad and head region 194

temperatures assessed by thermal imaging in healthy broiler chickens. Briefly, manual restraint 195

resulted in a significant temperature drop in footpads and a temperature rise in the head regions, 196

indicative of the thermoregulatory and vasomotor responses previously described as stress- 197

induced hyperthermia or emotional fever [5,6,10,11]. Furthermore, footpad temperatures 198

differed between the two weeks, where birds at 36 d had higher footpad temperatures than at 199

30 d.

200 201

This study is the first to show that manual restraint results in a significant drop in footpad 202

temperatures in broiler chickens. The results are consistent with previous studies in e.g. laying 203

hens, where handling stress and emotional arousal was associated with an initial drop in surface 204

body temperatures, probably due to skin vasoconstriction during the early minutes of stress and 205

arousal [8,16,18,19]. The results suggest that footpad temperatures drop due to cutaneous 206

vasoconstriction in response to manual restraint. In contrast to previous studies of handling 207

stress and foot temperatures in laying hens, where temperature dropped the initial six minutes 208

before it began to rise [8], the footpad temperatures reported here dropped steadily throughout 209

the immobilization procedure (Figure 3). The results may however not be directly comparable, 210

since Cabanac & Aizawa [8] recorded interdigital membrane temperatures as opposed to 211

footpad temperatures recorded here. However, it seems like the footpad temperature began to 212

rise towards the end of immobilization in some of the chickens (Figure 3). Further studies 213

employing a longer restraint duration would be necessary to investigate at what time point 214

broiler footpad temperature begin to rise after the initial drop.

215

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The order in which the chickens were sequentially sampled affected footpad temperatures: The 216

first chickens restrained had lower temperatures than those restrained last. It could be suggested 217

that human presence during the waiting time and catching process affected thermal responses:

218

All chickens had visual contact with the experimenters throughout the experiment because the 219

pen was in the same room as the experiment was conducted. Furthermore, to capture the 220

chickens, the experimenters entered the pen, which implicated that last chicken caught had been 221

exposed to more catching related disturbances, although none of them showed strong flight 222

responses during capture. This finding may represent a further indication of emotional origin 223

of the temperature alterations found here, and in agreement with studies in group-hosed mice 224

where (colonic) temperature of the last recorded mouse was higher than that of the first mouse 225

in the same cage when recorded sequentially [5]. Thus, duration of manual restraint as well as 226

sequential sampling order need to be taken into account in studies of footpad temperatures in 227

broiler chickens. An effect of sampling order was not found for the head temperature 228

recordings, since head temperatures were only recorded immediately after capture and then 229

after 9 min.

230 231

A rise in most of the head region temperatures was found during the restrain period, which may 232

indicate a rise in deep body temperature and subsequent radiation of excess heat during the 233

course of restraint (Figure 4 and 5). This finding is in agreement with several studies of stress 234

and emotions in homeotherms, and hence in support of an emotional origin of the temperature 235

alterations found here [e.g. 6,11]. For instance, both records of eye temperatures (i.e.

236

temperature recorded in the center of the eye and in the lateral eye angle) rose during 237

immobilization. This finding is in agreement with Edgar et al. [18] who found that even a short 238

period of handling led to a significant rise in eye temperatures. Likewise, a rise in ear and beak 239

base temperature, which are close to the eye region, was detected. Other studies showed an 240

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initial drop in eye temperatures during handling indicating vasoconstriction (5 s) before the 241

temperatures rose to levels significantly higher than baseline temperatures to dissipate heat 242

[18,19]. A similar initial drop was not detected here, probably due to the fact that chickens were 243

exposed to capture and handling before the initial temperatures were measured, as opposed to 244

IRT measures of baseline temperatures reported in undisturbed hens [18,19], and no further 245

measurements were undertaken before the last measurement at 9 min. Earlier studies showed 246

that arousal was associated with raised brain temperatures in chickens [33]. Thus, it could be 247

speculated that the close proximity between brain and eye may have influenced eye 248

temperatures recorded here. Furthermore, eye temperature has been suggested to represent a 249

good indicator of core temperature [34]. Although core temperature was not recorded here, it is 250

likely that eye temperature rise indicate a rise in core temperature due to restraint as reported in 251

previous studies [8,18,35]. A rise in nostril temperatures during immobilization may further 252

indicate that core temperature actually had risen, and that excess heat was dissipated by 253

exhalation through the nostrils in addition to a peripheral vasodilatation in the head regions.

254

Furthermore, from the thermal images it was observed that some of the chickens had a slightly 255

open beak at the last recording (9 min), which may indicate that they panted to dissipate heat 256

(see Figure 2b).

257 258

The rise in head temperatures during restraint were in agreement with previous studies [18].

259

The wattles, which together with the comb have an important role in temperature regulation 260

due to their high density of arteriovenous-anastomoses [36-38], showed a rise in temperature 261

due to restraint, in agreement with previous studies [18,19]. However, in contrast to these 262

studies, the comb base temperature was not significantly affected. This lack of effect is most 263

likely a result of the very small size of the comb at this early age and the difficulty to precisely 264

identify the comb base on the thermal image (Figure 2). Thus, studies of stress and emotions in 265

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broiler chickens could benefit from replacing spot measures of skin areas of specific interest 266

with average temperatures based on recordings of larger skin areas in the head region. Indeed, 267

head average as well as maximum temperatures (which were recorded on a larger area, in 268

contrast to the specific region spot measurements) were clearly affected by manual restraint, 269

and the individual head region temperatures did not give additional information about emotional 270

arousal during restraint (Figure 5). Therefore, average or maximum head temperature could be 271

employed as a feasible measure of emotional state in future studies of stress and emotions in 272

broiler chickens.

273 274

We found evidence that chickens at 36 d consequently had higher footpad temperatures at each 275

recorded point than at 30 days of age (Figure 3). This could be a result of age effects. It was 276

previously found that surface skin temperature measures in the abdominal area drops as a 277

function of age in broiler chickens [39], and the results therefore stand in contrast to previous 278

findings. It is not clear why age affected footpad temperatures. It could be speculated that age 279

dependent anatomical and/or histological alterations, and alterations in circulatory or 280

thermoregulatory capacity due to age, could explain the results. On the other hand, Herborn et 281

al. [19] found that the most aversive handling procedures resulted in higher temperatures. Thus, 282

if repeated restraint (i.e. measurements week 2) was experienced as more aversive due to a 283

conditioned response than restraint in the first week, then it could be suggested that the results 284

reflect an effect of repeated handling and restraint. Indeed, a study in rats showed that repeated 285

(colonic) temperature measurements resulted in a conditioned temperature rise the second 286

week, whereas a gradual habituation and temperature drop was found at later measurements.

287

On the other hand, rectal temperature in mice handled for rectal temperature measurement and 288

reused after 7 or 14 days did not differ from day 1, implying that mice can be reused in studies 289

of stress-induced hyperthermia [5]. Chickens here served as their own controls, and it is 290

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therefore not possible to draw conclusions whether the higher temperatures recorded the second 291

week were an effect of age dependent alterations or conditioning/habituation to the handling 292

procedure.

293 294

The effects of handling, restraint and sampling order on footpad temperatures could have 295

clinical relevance in veterinary IRT scanning for footpad lesions. If the magnitude of a 296

temperature rise due to e.g. subclinical lesions is low, and if the duration of veterinary 297

procedures involved is prolonged, it could be that emotion-induced confounding temperature 298

effects in IRT measurements of lesions could affect conclusions of such studies. Clearly, 299

duration of capture and restraint as well as sampling order should be included in future 300

experimental protocols in studies of surface temperature of broiler footpads. Further studies 301

will be needed to address how much of a potential inflammation-induced temperature increase 302

that could theoretically be masked by the emotion-induced cooling of feet.

303 304

While the statistical models employed in the present study exhibited a good fit to the data, the 305

number of sample points, especially for the head-temperature measurements, may obscure 306

certain effects due to variance problems associates with low-sample sizes. This was most 307

pronounced with respect to testing order as a weak effect was observed for foot temperatures, 308

but not for head temperatures. On the other hand, the weakness of this effect with regards to 309

footpad temperatures calls for caution, although there are several reasons arguing for such an 310

effect. Nevertheless, our result could indicate interesting avenues for future research on stress 311

and emotions in broiler chickens.

312 313 314 315

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14 5. Conclusions

316 317

This study is the first to demonstrate that footpad temperatures drop whereas head region 318

temperatures rise in response to manual restraint duration in broiler chickens, consistent with 319

body temperatures alterations due to stress and emotional arousal termed stress-induced 320

hyperthermia or emotional fever. Furthermore, footpad temperature differed between 30 and 36 321

d of age, but it is impossible to draw conclusions whether this effect was caused by age or by 322

previous experience (i.e. due to habituation or fear-conditioning). Furthermore, sequential 323

sampling order affected temperature. Thus, one needs to take into account several factors such 324

as the duration of handling and restraint as well as the chickens age, previous experience of the 325

birds and sequential sampling order when using IRT technology in future studies aimed at the 326

early detection and/or prediction of subclinical footpad pathologies in broiler chickens.

327 328 329

Acknowledgements 330

331

We thank the staff at the Department of Production Animal Clinical Sciences at the Norwegian 332

University of Life Sciences for taking care of the chickens. Sverre Futsæter is greatly 333

acknowledged for excellent technical assistance with analyzing the thermal images. This project 334

was funded by the Norwegian Research Council [NFR-project no. 234191], the Foundation for 335

Research Levy on Agricultural Products, the Agricultural Agreement Research Fund, and 336

Animalia — Norwegian Meat & Poultry Research Centre. Jon Bohlin was funded by the 337

Norwegian Institute of Public Health.

338 339 340

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15 Figure 1: Thermal image of a footpad

341 342

The figure shows one example of a thermal image of one individual broiler chickens’ footpad.

343

The circle illustrates the anatomical area that was measured. A circle was created within the 344

software to cover as much as possible of the footpad, without covering areas outside of the 345

footpad.

346 347

348 349

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Figure 2: Description of the anatomical location for the different areas and measurement 350

spots included in head temperature recordings.

351 352

The figure shows examples of thermal images of broiler chicken heads, and the anatomical 353

location of the areas and measurement spots that were included in the analyses. Figure 2a shows 354

a typical image that depicts the anatomical area where “Head average” and “Head max”

355

temperatures were measured. Here, a circle was created within the software to cover as much 356

as possible of the head, without covering areas outside the head. Figure 2b shows a typical 357

example of the anatomical areas measured as specific measurement spots; Sp1: Eye angle 358

(lateral eye angle, which includes vascularized areas), Sp2: Eye center (middle of the eye), Sp3:

359

Nostril, Sp4: Comb base, Sp5: Wattle, Sp6: Ear, and Sp7: Beak base.

360

361

2a 2b

362

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Figure 3: Footpad temperatures in twelve individual broiler chickens during 10 min. manual 363

restraint, at 30 and 36 d of age.

364

365 366 367

The figure shows recorded footpad temperatures (vertical axis), in degrees of Celsius, plotted 368

against time in minutes (horizontal axis), together with regression model estimates (black 369

points). Each panel, from 1-12 represent each individual chicken with footpad temperatures 370

taken at weeks 1 and 2; i.e. 30 and 36 d of age (red and blue lines).

371 372

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Figure 4: Head region temperatures (pooled) in response to manual restraint.

373

374 375

The figure shows a box plot of pooled head region temperature measurements (black points) 376

plotted against two time points (i.e. 0 and 9 min). The red points are temperatures estimated by 377

the mixed effects regression model.

378 379 380 381

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Figure 5: Head region temperatures in response to manual restraint.

382 383

384 385

The box-plots show head temperature measurements (y-axis) with respect to time (0 and 9 min, 386

x-axis). Each panel corresponds to a separate head region from which temperatures were 387

measured. The stars indicate statistical significance at the p<0.05 level (*) p<0.01 level (**) 388

and p<0.001 level (***).

389 390 391 392

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